Research on Core Power Control of Small Lead-based Reactor Based on Ant Colony Algorithm

Li Jinyang; Liu Yinuo; Zeng Wenjie; Hu Yang; Yu Tao

doi:10.13832/j.jnpe.2022.03.0135

Volume 43 Issue 3

Jun. 2022

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Li Jinyang, Liu Yinuo, Zeng Wenjie, Hu Yang, Yu Tao. Research on Core Power Control of Small Lead-based Reactor Based on Ant Colony Algorithm[J]. Nuclear Power Engineering, 2022, 43(3): 135-138. doi: 10.13832/j.jnpe.2022.03.0135

Citation:

Li Jinyang, Liu Yinuo, Zeng Wenjie, Hu Yang, Yu Tao. Research on Core Power Control of Small Lead-based Reactor Based on Ant Colony Algorithm[J]. Nuclear Power Engineering, 2022, 43(3): 135-138. doi: 10.13832/j.jnpe.2022.03.0135

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Research on Core Power Control of Small Lead-based Reactor Based on Ant Colony Algorithm

doi: 10.13832/j.jnpe.2022.03.0135

School of Nuclear Science and Technology, University of South China, Hengyang, Hunan, 421001, China

Received Date: 2021-05-10
Accepted Date: 2022-04-20
Rev Recd Date: 2021-07-17
Publish Date: 2022-06-07

Abstract

Abstract

Small lead-based reactor has a wide range of applications and complex and changeable operating conditions. It is difficult to achieve good control of core power by using traditional control methods. In order to solve the problem that the parameters of the traditional linear quadratic Gaussian control (LQG)/loop transmission recovery technology (LTR) controller cannot be adjusted online, the core state space model is established by using the perturbation theory, an LQG/LTR controller based on ant colony algorithm is designed, the core power control system of small lead-based reactor is established, the parameters of LQG/LTR controller are adjusted online, and the dynamic simulation of the core is carried out. The results show that the LQG/LTR controller based on ant colony algorithm is easier to be stable and the amplitude of change is smaller than that of the traditional LQG/LTR controller.
- Small lead-based reactor,
- LQG/LTR,
- Ant colony algorithm,
- Core power control

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References(10)

References

[1]	吉文浩,彭星杰,蔡云,等. 小型铅基快堆反射层优化设计研究[J]. 核动力工程,2020, 41(S2): 16-20.
[2]	DOYLE J C, STEIN G. Multivariable feedback design: concepts for a classical/modern synthesis[J]. IEEE Transactions on Automatic Control, 1981, 26(1): 4-16. doi: 10.1109/TAC.1981.1102555
[3]	STEIN G, ATHANS M. The LQG/LTR procedure for multivariable feedback control design[J]. IEEE Transactions on Automatic Control, 1987, 32(2): 105-114. doi: 10.1109/TAC.1987.1104550
[4]	李海鹏,黄晓津,张良驹. 压水堆堆芯系统线性化模型在最优控制中的应用[J]. 核动力工程,2008, 29(4): 84-87,122.
[5]	孙长义. 铅铋冷却实验快堆运行与控制策略研究[D]. 西安: 西安交通大学, 2013
[6]	杜尚勉,曾文杰,于涛,等. 基于堆芯线性化模型的液态熔盐堆功率控制研究[J]. 核动力工程,2019, 40(6): 109-113.
[7]	ZENG W J, LI J Y, HUI T Y, et al. LQG/LTR controller with simulated annealing algorithm for CIADS core power control[J]. Annals of Nuclear Energy, 2020, 142: 107422. doi: 10.1016/j.anucene.2020.107422
[8]	LI G, ZHAO F Y. Flexibility control and simulation with multi-model and LQG/LTR design for PWR core load following operation[J]. Annals of Nuclear Energy, 2013, 56: 179-188. doi: 10.1016/j.anucene.2013.01.035
[9]	DORIGO M, MANIEZZO V, COLORNI A. Ant system: optimization by a colony of cooperating agents[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1996, 26(1): 29-41. doi: 10.1109/3477.484436
[10]	吴庆洪,张纪会,徐心和. 具有变异特征的蚁群算法[J]. 计算机研究与发展,1999, 36(10): 1240-1245.